Digital Platform Design and User Behavioral Deviations: An Interdisciplinary Study on Cross-Cultural Behavior Patterns and Engineering Intervention Strategies

Abstract

This study investigates the complex interplay between digital platform design, cross- cultural behavioral patterns, and user behavioral deviations. Drawing upon an interdisciplinary approach that integrates design, technology, engineering, business, and cultural studies, we propose a novel theoretical framework to understand how specific design features of digital platforms influence the emergence and evolution of user behavioral deviations. Through large-scale user behavior data, we analyze the impact of various platform design variables, such as interactive interfaces, recommendation algorithms, and social mechanisms, on user behavior. Furthermore, we explore the cross-cultural differences in user responses to these design elements, particularly within the Chinese cultural context. Our research introduces engineering- driven intervention strategies, including behaviorally informed UI/UX design, intelligent auditing systems, and personalized intervention modules, to effectively guide and correct deviant behaviors on digital platforms. The findings contribute to a comprehensive understanding of user behavior in digital environments and provide actionable insights for designing more ethical and effective digital platforms. This work culminates in a predictive model and a technical framework for identifying, predicting, and mitigating user behavioral deviations, thereby fostering a healthier digital ecosystem.